Diversité spatiale, temporelle et fréquentielle pour la mesure précise de distance et d'angle d'arrivée en ultra large bande

Abstract : Detection and ranging with electromagnetic waves (Radar) are used in a number of domains such as aeronautics, automobile or even medecin. In this thesis, we are interested particularly on Radar in the wellness domain for widely use: sleep pattern tracking sensors, smart glasses or white cane with obstacles detection for visually impaired people. The problem, which so far has not been discussed, is to add necessary functionalities as follow to the exciting solution to resolve theses applications: the thoracic and abdominal displacement tracking with a millimetric resolution; and the measurements of arrival direction of backscattered signals from obstacles in front of visually impaired individuals. The technological starting point is the one of Ultra Wideband (UWB) technology, which offers a resolution of approximate one centimeter in the distance measurement within the range of few meters and in the discrimination of backscattered signals from multiple obstacles. To meet these criterias, the research focuses on the backscattering propagation channel in particularly from the human body. It also analyses the techniques in signal processing, aiming to estimate the breathing rate in the backscattered signal of human body, and to estimate the arrival direction to an antenna array to nearly one degree. Finally, it investigates the systematic architecture, especially in the receiver associated with the antenna array, in order to withstand the angular measurement without notably increasing the receiver complexity and consumption.
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Submitted on : Friday, August 2, 2019 - 2:52:08 PM
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Tien Tu Vo. Diversité spatiale, temporelle et fréquentielle pour la mesure précise de distance et d'angle d'arrivée en ultra large bande. Traitement du signal et de l'image [eess.SP]. Université Paris-Saclay, 2019. Français. ⟨NNT : 2019SACLT027⟩. ⟨tel-02262440⟩

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